/**
 * Copyright 2024 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include "infer/ops_func_impl/divs.h"

#include <set>
#include <unordered_set>

#include "mindapi/base/type_id.h"
#include "ops_utils/op_utils.h"

namespace mindspore::ops {
ShapeArray DivsFuncImpl::InferShape(const PrimitivePtr &primitive, const InferInfoPtrList &input_infos) const {
  return {input_infos[kIndex0]->GetShape()};
}

std::vector<TypeId> DivsFuncImpl::InferType(const PrimitivePtr &primitive, const InferInfoPtrList &input_infos) const {
  auto input_type = input_infos[0]->GetType();
  const std::unordered_set<TypeId> kFloatTypes{kNumberTypeFloat,   kNumberTypeFloat16,   kNumberTypeFloat32,
                                               kNumberTypeFloat64, kNumberTypeBFloat16,  kNumberTypeDouble,
                                               kNumberTypeComplex, kNumberTypeComplex64, kNumberTypeComplex128};
  auto output_type = (kFloatTypes.find(input_type) != kFloatTypes.end()) ? input_type : kNumberTypeFloat32;
  return {output_type};
}
}  // namespace mindspore::ops
